Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision | |||
|
wombat:answerfaq4 [2018/10/11] kmeyer |
wombat:answerfaq4 [2018/10/11] (current) kmeyer |
||
|---|---|---|---|
| Line 24: | Line 24: | ||
| P.S. You may encounter a column with heading ''xxxxx'' in your file with solutions and standard errors for random effects - the content of which looks like an accuracy. Yes, for some (simple) models this gives estimates of the accuracy. However, for other (more complicated) models the results can be wrong (bug) -- so don't use this column until you have convinced yourself (by calculating what the accuracy should be for a few levels and making sure the values agree) that the numbers are indeed correct. | P.S. You may encounter a column with heading ''xxxxx'' in your file with solutions and standard errors for random effects - the content of which looks like an accuracy. Yes, for some (simple) models this gives estimates of the accuracy. However, for other (more complicated) models the results can be wrong (bug) -- so don't use this column until you have convinced yourself (by calculating what the accuracy should be for a few levels and making sure the values agree) that the numbers are indeed correct. | ||
| - | </WRAP> | + | |
| P.P.S When calculating accuracies, make sure you account for inbreeding - otherwise you may underestimate it and may even get a negative number (which is clearly wrong)! | P.P.S When calculating accuracies, make sure you account for inbreeding - otherwise you may underestimate it and may even get a negative number (which is clearly wrong)! | ||
| + | |||
| + | </WRAP> | ||
| <WRAP right 38% round> Please check your favourite textbook/lecture notes/paper for documentation on how to calculate accuracies once you have an (approximate) inverse of the coefficient matrix in the mixed model equations. | <WRAP right 38% round> Please check your favourite textbook/lecture notes/paper for documentation on how to calculate accuracies once you have an (approximate) inverse of the coefficient matrix in the mixed model equations. | ||
